Open access peer-reviewed Edited Volume


Jeffrey M. Yarus

Case Western Reserve University

Professor at the Case Western Reserve University with more than 42 years of industry experience, one of the creators of the Earth Modeling software in 2006 that is a core module on the DecisionSpace Geoscience Suite even today.


Marko Maučec

Saudi Aramco

Dr. Maucec is a Petroleum Engineering Consultant with Reservoir Description and Simulation Department at Saudi Aramco in Saudi Arabia. He has authored more than 80 peer-reviewed and professional conference papers, co-authored a reference book on Intelligent Digital Oil & gas Fields, and is an inventor on 30 US patents and patent applications. Formerly, he has worked internationally with Halliburton/Landmark, Shell International E&P, and in nuclear research and industry.

Timothy Coburn

Colorado State University

Dr. Tim Coburn is a Professor of Systems Engineering at Colorado State University (CSU) and Research Associate in the CSU Energy Institute. He also held professional externships at Sandia National Laboratory, the US Geological Survey, and the Kansas Geological Survey, and is active in numerous geoscience, engineering, and energy-related professional organizations.


Variograms Kriging Conditional Simulation Nugget Effect Nested Models Clastic Hydrocarbon Reservoirs Carbonate Hydrocarbon Reservoirs Geothermal Solar Soil Nitrates Machine Learning Advanced Data Analytics

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About the book

Geostatistical modeling too often falls into the trap of "button pushing" on commercial software without an understanding of the basic underlying principles. After more than 30 years of teaching earth modeling classes, it is clear that the base knowledge of geostatistical principles has grown amongst earth modelers, yet, there remains a great deal more to learn. Many modelers today have become lost in software products and rely too heavily on embedded defaults, or suggestions from colleagues.

This book is intended to be a companion to modelers interested in knowing the practical meaning of what is behind the buttons they are pushing. It is not a textbook on the mathematics of geostatistics or the evolution of its theory. It is a guide to help make practical decisions and simply explain the “why” and “how” of what works and what does not. Further, it will attempt to answer questions where difficult choices and resulting implications are not clear; e.g. What variogram model should I use? What simulation algorithm is best? How many realizations should I run? After a review of basic principles and common pitfalls, case study examples will be drawn from both conventional and unconventional reservoirs. The case studies will be followed by a constructive review from a panel of experts geostatisticians articulating both strong and weak points of the models, and offer suggestions. Finally, the impact of high-performance computing, machine learning, data analytics (big and small), Python, and R will be discussed with a view towards successful earth modeling for the next decade.

Publishing process

Book initiated and editor appointed

Date completed: August 25th 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: September 22nd 2021

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: November 21st 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: February 9th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: April 10th 2022

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Jeffrey M. Yarus

Case Western Reserve University

Jeffrey Yarus is a Professor at the Case Western Reserve University and a retired Halliburton Technology Fellow for Landmark with over 42 years of industry experience. Jeffrey’s specific areas of thought leadership include Earth Modeling and Geostatistics, and he is the technical lead and a Senior Manager of DecisionSpace Earth and Reservoir Modeling software. Early in his career, Dr. Yarus enjoyed the opportunity to work with a number of Major Oil Companies and Technology Service Companies including Amoco, Marathon, Beicip-Franlab, and Roxar. In 2001, Yarus and a business partner were responsible for funding their own research and consulting company – Quantitative Geosciences (QGSI) – specializing in applied Earth Modeling. The QGSI staff along with Dr. Yarus joined Landmark Graphics Corporation in 2006 to build an Earth Modeling software product; today a core module on the DecisionSpace Geoscience Suite. Dr. Yarus earned his Ph.D. and master’s degree in Geology from the University of South Carolina and his bachelor’s degree in Geology from the College of Wooster. Yarus served as a Chair of a number of AAPG’s committees including the Computer Applications, Publications, and Reservoir Development Committees. He has authored many papers and abstracts on reservoir modeling and Geostatistics including AAPG volumes on Stochastic Modeling and Geostatistics, the chapter on Reservoir Characterization and Geostatistics and the recent SPE Petroleum Engineering Handbook, Volume 6. An acknowledged lecturer and author in the industry, Dr. Yarus earned the distinction of 12-year Adjunct Faculty Member for the University of Houston Department Of Petroleum Engineering. He is one of the senior editors of the Stochastic Modeling volumes in AAPG’s Computer Applications Series. In 2016, Dr. Yarus received the prestigious, George Matheron Lecturer Award from the International Association of Mathematical Geosciences.

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